This work focuses on the design of two standardized metadata schemas for ion chromatography. These schemas built upon the JSON standard. Their design is based on the ASTM E 1151 norm for terms and relationships in ion chromatography and user-feedback resulting from a coupled data stewardship in applied plasma science. Both schemas contain relevant metadata for the description of the instrument setup, data processing method, sample parameters and quality assurance parameters. The metadata schemas were designed and tested in a laboratory workflow using the research data management tool Adamant [I. Chaerony Siffa et al., https://doi.org/10.12688/f1000research.110875.2]. The presented use-case demonstrates the paradigms of modern research data management for research in the laboratory. The collected metadata can be sent directly from Adamant to the institute's instance of the electronic lab notebook eLabFTW [CARPi et al., https://doi.org/10.21105/joss.00146] to enable a smoother transition from the traditional handwritten laboratory notebooks to a digital solution, which increases both the interoperability and accessibility of the collected metadata.
The work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure \u2013 [NFDI46/1] - 501864659.
", "publication_date": "2023-11-07", "publisher": "Zenodo", "resource_type": { "id": "presentation", "title": { "de": "Pr\u00e4sentation", "en": "Presentation" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "Design of metadata schemas for ion chromatography in applied plasma sciences" }, "parent": { "access": { "owned_by": { "user": "1019027" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "579f536a-7e69-4947-8425-6d630137f55e", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2023-08-24T07:35:54.081238+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "579f536a-7e69-4947-8425-6d630137f55e", "links": {}, "metadata": { "curation_policy": "All material uploaded here was presented at the HMC conference in fall 2023. Other contribution will not be accepted.
", "page": "HMC is a platform that promotes the qualitative enrichment of research data by means of metadata. Its main goal is to make the depth and breadth of research data produced by Helmholtz centres findable, accessible, interoperable and reusable (FAIR) for the entire scientific community (in Helmholtz and beyond). Further, HMC works on a sustainable, distributed, semantically enriched Helmholtz data space that should enable scientists to seamlessly share and re-use their data in new ways.
\nThe HMC conference 2023 gave a platform to:
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The programm and further information can be found here.